传感技术学报2016，Vol.29Issue(11)：1718-1723,6.DOI:10.3969/j.issn.1004-1699.2016.11.015
基于Allan方差改进阈值的惯性传感器动态信号小波去噪
Wavelet De-Noising of Inertial Sensor Dynamic Signal Based on Improvement Threshold with Allan Variance
摘要
Abstract
The noise reduction effect of inertial sensor is usually evaluated by the Allan variance. Therefore,an im⁃proved wavelet threshold algorithm based on Allan variance noise coefficients is proposed. Firstly ,the signal is de⁃composed into different frequency bands by lifting wavelet transform. And then the Allan variance noise coefficients of are calculated,their values are used in determining the filtering threshold. The improved algorithm has strong per⁃tinence,because the evaluation parameters of the de-noising effect are used to modify the threshold. Compare to oth⁃er inertial sensor de-noising methods. The proposed method can effectively suppress random noise to extract more accurate inertial sensor dynamic output.关键词
惯性传感器/动态信号/小波阈值去噪/Allan方差/噪声系数Key words
inertial sensor/dynamic signal/wavelet threshold de-noising/Allan variance/noise coefficient分类
信息技术与安全科学引用本文复制引用
朱战辉,张友妮,汪立新,曲云星..基于Allan方差改进阈值的惯性传感器动态信号小波去噪[J].传感技术学报,2016,29(11):1718-1723,6.基金项目
国家自然科学基金项目 （）
